Objective
Depression affects hundreds of millions of people, causing profound global suffering and underscoring the urgent need for effective treatments, like various psychotherapy types. Despite decades of research demonstrating psychotherapy’s effectiveness, outcomes remain stagnant, with over 50% of patients not responding to treatment. This stagnation underscores the necessity for targeted approaches to maximize treatment benefits, particularly given the heterogeneity of treatment effects (HTE) driven by individual differences and study contexts. SYNTHESIS addresses these challenges by utilizing an ambitious computational framework, which integrates Individual Patient Data (component) Network Meta-Analyses (IPD[c]NMAs) with machine learning (ML) to pave the way to precision psychology. It reconceptualizes psychotherapy as a dynamic, context-sensitive, and patient-centered network of interventions, addressing a key unanswered question: i.e. what is the optimal treatment, and its components based on individual differences. Moving beyond traditional approaches focusing on group averages, SYNTHESIS will uncover the HTE, addressing the generalizability crisis in psychotherapy research while advancing knowledge of treatment response variability. Key innovations include comparing all head-to-head comparison of psychotherapies, deconstructing these therapies into components, mapping their interactions with patient characteristics, and using ML to identify complex patterns in treatment responses within a causal IPD(c)NMA framework. Outputs such as an unparalleled IPD data warehouse, predictive models, and open-access clinical decision tools will revolutionize clinical research and practice. By advancing methodological approaches to targeted interventions, SYNTHESIS sets a new standard for precision psychology. Its scalable framework extends beyond depression, providing a blueprint for precision approaches in other disorders and disciplines where personalization is essential.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences psychology psychotherapy
- natural sciences computer and information sciences artificial intelligence machine learning
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2025-COG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1012WX Amsterdam
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.